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Image of Machine Learning Modeling for IoUT Networks

Electronic Resource

Machine Learning Modeling for IoUT Networks

El-Banna, Ahmad A. Aziz - Personal Name; Wu, Kaishun - Personal Name;

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This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.


Availability
Inventory Code Barcode Call Number Location Status
1908000025EB0000290006.31 Elb mCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
006.31 Elb m
Publisher
Switzerland : Springer Cham., 2021
Collation
xii, 63p.:Ill.
Language
English
ISBN/ISSN
978-3-030-68567-6
Classification
006.31
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
-
Subject(s)
Machine Learning
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Machine Learning Modeling for IoUT Networks
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